Author: @hejhdis Abstract Modern network defense relies heavily on rule-based scanners and predefined signatures to identify exposure and risk. Tools such as Nmap, OpenVAS, Nessus, and similar platforms are extremely Continue reading Rethinking Network Defense: Why We Should Explore ML-Assisted Risk Assessment on Top of Traditional Scanners
Staying ahead of competitors requires constant vigilance—tracking product launches, funding rounds, partnerships, and strategic moves across the web. The open-source Competitive Intelligence Monitor project demonstrates how to automate this process Continue reading Build an AI-Powered Competitive Intelligence Monitor
Welcome to the Playground, Nerds! Hey there, code wranglers and AI enthusiasts! Pull up a chair, grab your favorite caffeinated beverage, and let’s chat about something that’s got me more Continue reading LangGraph: Where AI Workflows Meet Finger Painting (for Grown-Up Devs)
Quick recap! From step 1-4, we have Install the necessary packages Step 1 Create a Clerk Project Step 2 Add the Clerk API key Step 3 Created and Configured the Continue reading Login with Google on an iPhone (Local Metro server + Dev Build) – Part 5/7: Expo Router Setup
For the last few years, most discussions about local small language models have focused on common themes: the lack of a need for an expensive GPU, lower power draw, privacy, Continue reading SLMs – A Very Different Form of AI
Waking up shouldn’t feel like a battle against your own biology. If you’ve ever felt jolted out of a deep slumber only to remain groggy for hours, you’ve experienced sleep Continue reading Smart Alarms Explained: How Sensor Technology Can Help You Wake Up Refreshed
AI Layer Types: A Framework for Building Custom AI Architectures Introduction This document presents a conceptual framework for thinking about different types of AI layers when building custom AI architectures Continue reading All the Different Types of AI Layers
Introduction This project was developed as part of the Hardware Architecture course at my university. Our team set out to build a simple yet powerful system where we could experiment Continue reading How I Built a Intelligent AgTech Risk Monitoring System: Architecture, Technical Decisions, and Key Learnings
Hey dev friends! 💻 I’m back with a new article to share what I’ve recently learned. Today, we’re going to talk about logging in microservices and how implementing proper logging Continue reading Debugging Microservices: How Correlation IDs Cut Our Debug Time from Hours to Minutes
Some marketers might think that once all the inventory of a product gets sold, the product page has no value. Some marketers might go so far as to turn the Continue reading How to Handle Sold Out Products in Shopify
I was discussing this with my co-worker(who is also an ML engineer) as to how a beginner like me should approach machine learning? She said now that I’ve intentionally mastered Continue reading How does a machine actually learn from data?
Stream processing engines solved a real problem: continuous computation over unbounded data. Flink, ksqlDB, and Kafka Streams gave teams a way to run SQL-like queries against event streams without writing Continue reading SQL on Kafka Data Does Not Require a Streaming Engine
I thought modeling was about shapes. But everything actually comes down to three small things. Day 19 made Blender feel more logical. This post is part of my daily learning Continue reading Understanding Vertices, Edges, and Faces in Blender
Audio effects like delay are crucial for many music and sound design applications. In this article, we’ll build a simple audio delay effect in the browser using the Web Audio Continue reading How to Create an Audio Delay Effect in the Browser Using Web Audio API
TL;DR On January 7, 2026, the Grok incident demonstrated that AI providers claiming “our safeguards work” isn’t enough. We need cryptographic proof. CAP (Content / Creative AI Profile) v1.0 provides Continue reading The Accountability Gap: Why AI Systems Need Cryptographic Proof of Refusals
